Tag archives for historical data
Looking at financial instruments, one often finds the term implied volatility. In this post, we want to describe what it is and what you can do with it. We start refreshing the term historical volatility and then we explain the implied volatility. An example of German DAX with real data concludes this post. Historical Volatility […]
There are many free data sources: In a previous post, I published a list a free market data sources. Now, I would like to point you to an interesting project: WIKIPOSIT. This project aggregates many data sources such that you can access market data and other statistics with a simple API. Or, you can export […]
Before using specialized tools for back-testing I propose that one tries the MS Excel Pivot Table first. The pivot table tool is great for inspection, filtering and analyzing large data sets. In this article, I will present how to create a simple timing-based strategy and how to compute its historical performance.
Often people ask me where they can find historical data of stock prices, commodities, interest-rates, bonds, fx rates … . In previous posts, we already looked at live data feeds for Matlab, and Excel. Then, we looked at how to load historical data. Now, we want to focus on where to get the data itself.
In the last decade, gold constantly rose in value. In this post, we will use public data to look into the value relationship of gold and money. Value of gold measured in different currencies Gold is definitely one of the oldest currencies. Until 1971, USD and gold were essentially the same using a fixed conversion rate. […]
There is an interesting and brand new project from The MathWorks: Trendy.
A brilliant website is the perfect example for user friendly interactive data visualization: Gapminder. This website presents statistical data about the countries of the world and how it changes in time. A user-friendly AJAX user interface allows you to get gain new insights exploring this data. They have done a great job. Google bought this […]
This is a very important and usual task. Historical data is mainly required for risk management purposes, model validation and back-testing. For these tasks software systems like Theta Suite, Matlab, Java or Excel are the main work space. We need to import the data here.